Sentence-level relation extraction (RE) aims at identifying the relationship between two entities mentioned in a sentence.
RE is crucial to the structural perception of human language, and also benefits many NLP applications such as automated knowledge base construction [1]}, event understanding [2]}, discourse understanding [3]}, and question answering [4]}.
The modern tools of choice for RE are the large-scale pretrained language models (PLMs) that are used to encode individual sentences, therefore obtaining the sentence-level representations [5]}, [6]}, [7]}.
